Output Tracking based Distributed State Estimation

Yuheng Li; Yuezu Lv; Peihu Duan; Jialing Zhou

doi:10.1109/ICUS52573.2021.9641147

Output Tracking based Distributed State Estimation

Yuheng Li, Yuezu Lv, Peihu Duan, Jialing Zhou

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

This paper proposes a novel continuous-time distributed state estimation method for sensor networks under strongly connected directed graphs. The distributed output tracking dynamics are introduced for each node to estimate the entire measurement output of the sensor network, based on which the local state estimator is designed. Theoretical analysis demonstrate that the algorithm proposed in this paper can asymptotically realize distributed state estimation without noise. And a simulation example is also presented to show the validity of the presented method.

Original language	English
Title of host publication	Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	146-150
Number of pages	5
ISBN (Electronic)	9780738146577
DOIs	https://doi.org/10.1109/ICUS52573.2021.9641147
Publication status	Published - 2021
Externally published	Yes
Event	2021 IEEE International Conference on Unmanned Systems, ICUS 2021 - Beijing, China Duration: 15 Oct 2021 → 17 Oct 2021

Publication series

Name	Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021

Conference

Conference	2021 IEEE International Conference on Unmanned Systems, ICUS 2021
Country/Territory	China
City	Beijing
Period	15/10/21 → 17/10/21

Keywords

Distributed state estimation
distributed output tracking
sensor network
strongly connected graph

Access to Document

10.1109/ICUS52573.2021.9641147

Cite this

Li, Y., Lv, Y., Duan, P., & Zhou, J. (2021). Output Tracking based Distributed State Estimation. In Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021 (pp. 146-150). (Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICUS52573.2021.9641147

@inproceedings{6099ae4baabb43038e659e47b5773066,

title = "Output Tracking based Distributed State Estimation",

abstract = "This paper proposes a novel continuous-time distributed state estimation method for sensor networks under strongly connected directed graphs. The distributed output tracking dynamics are introduced for each node to estimate the entire measurement output of the sensor network, based on which the local state estimator is designed. Theoretical analysis demonstrate that the algorithm proposed in this paper can asymptotically realize distributed state estimation without noise. And a simulation example is also presented to show the validity of the presented method.",

keywords = "Distributed state estimation, distributed output tracking, sensor network, strongly connected graph",

author = "Yuheng Li and Yuezu Lv and Peihu Duan and Jialing Zhou",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Unmanned Systems, ICUS 2021 ; Conference date: 15-10-2021 Through 17-10-2021",

year = "2021",

doi = "10.1109/ICUS52573.2021.9641147",

language = "English",

series = "Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "146--150",

booktitle = "Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021",

address = "United States",

}

Li, Y, Lv, Y, Duan, P & Zhou, J 2021, Output Tracking based Distributed State Estimation. in Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021. Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021, Institute of Electrical and Electronics Engineers Inc., pp. 146-150, 2021 IEEE International Conference on Unmanned Systems, ICUS 2021, Beijing, China, 15/10/21. https://doi.org/10.1109/ICUS52573.2021.9641147

Output Tracking based Distributed State Estimation. / Li, Yuheng; Lv, Yuezu; Duan, Peihu et al.
Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 146-150 (Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Output Tracking based Distributed State Estimation

AU - Li, Yuheng

AU - Lv, Yuezu

AU - Duan, Peihu

AU - Zhou, Jialing

PY - 2021

Y1 - 2021

N2 - This paper proposes a novel continuous-time distributed state estimation method for sensor networks under strongly connected directed graphs. The distributed output tracking dynamics are introduced for each node to estimate the entire measurement output of the sensor network, based on which the local state estimator is designed. Theoretical analysis demonstrate that the algorithm proposed in this paper can asymptotically realize distributed state estimation without noise. And a simulation example is also presented to show the validity of the presented method.

AB - This paper proposes a novel continuous-time distributed state estimation method for sensor networks under strongly connected directed graphs. The distributed output tracking dynamics are introduced for each node to estimate the entire measurement output of the sensor network, based on which the local state estimator is designed. Theoretical analysis demonstrate that the algorithm proposed in this paper can asymptotically realize distributed state estimation without noise. And a simulation example is also presented to show the validity of the presented method.

KW - Distributed state estimation

KW - distributed output tracking

KW - sensor network

KW - strongly connected graph

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U2 - 10.1109/ICUS52573.2021.9641147

DO - 10.1109/ICUS52573.2021.9641147

M3 - Conference contribution

AN - SCOPUS:85124155629

T3 - Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021

SP - 146

EP - 150

BT - Proceedings of 2021 IEEE International Conference on Unmanned Systems, ICUS 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE International Conference on Unmanned Systems, ICUS 2021

Y2 - 15 October 2021 through 17 October 2021

ER -

Output Tracking based Distributed State Estimation

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Keywords

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